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Learn to deploy novel algorithms to improve and secure smart city infrastructure
In Cyberphysical Smart Cities Infrastructures: Optimal Operation and Intelligent Decision Making, accomplished researchers Drs. M. Hadi Amini and Miadreza Shafie-Khah deliver a crucial exploration of new directions in the science and engineering of deploying novel and efficient computing algorithms to enhance the efficient operation of the networks and communication systems underlying smart city infrastructure. The book covers special issues on the deployment of these algorithms with an eye to helping readers improve the operation of smart cities.
The editors present concise and accessible material from a collection of internationally renowned authors in areas as diverse as computer science, electrical engineering, operation research, civil engineering, and the social sciences. They also include discussions of the use of artificial intelligence to secure the operations of cyberphysical smart city infrastructure and provide several examples of the applications of novel theoretical algorithms.
Readers will also enjoy:
* Thorough introductions to fundamental algorithms for computing and learning, large-scale optimizations, control theory for large-scale systems
* Explorations of machine learning and intelligent decision making in cyberphysical smart cities, including smart energy systems and intelligent transportation networks
* In-depth treatments of intelligent decision making in cyberphysical smart city infrastructure and optimization in networked smart cities
Perfect for senior undergraduate and graduate students of electrical and computer engineering, computer science, civil engineering, telecommunications, information technology, and business, Cyberphysical Smart Cities Infrastructures is an indispensable reference for anyone seeking to solve real-world problems in smart cities.
List of contents
Biography xv
List of Contributors xvii
Ch 1. Artificial Intelligence and Cybersecurity: Tale of Healthcare Applications 1
Aaron Turransky and M. Hadi Amini
Ch 2. Data Analytics for Smart cities: Challenges and Promises 13
Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini, and Hamid Reza Arabnia
Ch 3. Embodied AI-driven Operation of Smart Cities: A Concise Review 29
Farzan Shenavarmasouleh, Ghareh Mohammadi, M. Hadi Amini, and Hamid Reza Arabnia
Ch 4. Analysis of Different Regression Techniques for Battery Capacity Prediction 47
Param Khakhar and Rahul Kumar Dubey
Ch 5. Smart Charging and Operation of Electric Fleet Vehicles in a Smart City 61
Milad Kazemi, Samuel Bailey, Sadegh Soudjani, and Vahid Vahidinasab
Ch 6. Risk-Aware Cyber-Physical Control for Resilient Smart Cities 95
Eman Hammad and Abdallah Farraj
Ch 7. Wind speed prediction using a robust possibilistic c-regression models: A case study of Tunisia 123
Achraf J. Telmoudi, Moez Soltani, Lotfi Chaouech, and Abdelkader Chaari
Ch 8. Intelligent Traffic: Formulating an Applied Research Methodology FOR Computer Vision and Vehicle Detection 139
Gabrielle Bakker-Reynolds, Emre Erturk, and Istvan Lengyel
Ch 9. Implementation And Evaluation of Computer Vision Prototype for Vehicle Detection 167
Gabrielle Bakker-Reynolds, Emre Erturk, Istvan Lengyel, and Noor Alani
Ch 10. A Review on Applications of the standard series IEC 61850 in Smart Grid applications 197
Youcef Himri, S. M. Muyeen, Farhan Hameed Malik, Saliha Himri, Khairol Amali bin Ahmad, Nachida Kasbadji Merzouk, and Mustapha Merzouk
Ch 11. Electric vehicles in smart cities 255
Sahand G. Liasi and Mohammad T. Bina
Author Index 287
About the author
M. Hadi Amini, PhD, DEng, is Assistant Professor at the Knight Foundation School of Computing and Information Sciences, College of Engineering and Computing at Florida International University. He is also the Founding Director of Sustainability, Optimization, and Learning for InterDependent Networks Laboratory (www.solidlab.network).
Miadreza Shafie-Khah, PhD, is Associate Professor at the University of Vaasa, Finland. He is Editor-in-Chief and Editor of several journals, Senior Member of IEEE and in the Steering Committee of Diverse International Conferences.
Summary
Learn to deploy novel algorithms to improve and secure smart city infrastructure
In Cyberphysical Smart Cities Infrastructures: Optimal Operation and Intelligent Decision Making, accomplished researchers Drs. M. Hadi Amini and Miadreza Shafie-Khah deliver a crucial exploration of new directions in the science and engineering of deploying novel and efficient computing algorithms to enhance the efficient operation of the networks and communication systems underlying smart city infrastructure. The book covers special issues on the deployment of these algorithms with an eye to helping readers improve the operation of smart cities.
The editors present concise and accessible material from a collection of internationally renowned authors in areas as diverse as computer science, electrical engineering, operation research, civil engineering, and the social sciences. They also include discussions of the use of artificial intelligence to secure the operations of cyberphysical smart city infrastructure and provide several examples of the applications of novel theoretical algorithms.
Readers will also enjoy:
* Thorough introductions to fundamental algorithms for computing and learning, large-scale optimizations, control theory for large-scale systems
* Explorations of machine learning and intelligent decision making in cyberphysical smart cities, including smart energy systems and intelligent transportation networks
* In-depth treatments of intelligent decision making in cyberphysical smart city infrastructure and optimization in networked smart cities
Perfect for senior undergraduate and graduate students of electrical and computer engineering, computer science, civil engineering, telecommunications, information technology, and business, Cyberphysical Smart Cities Infrastructures is an indispensable reference for anyone seeking to solve real-world problems in smart cities.
